Wu, S. and Clements-Croome, D. (2005) Preventive Maintenance Models with Random Maintenance Quality. Reliability Engineering and System Safety, 90 (1). pp. 99-105. ISSN 0951-8320 .
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In real-world environments it is usually difficult to specify the quality of a preventive maintenance (PM) action precisely. This uncertainty makes it problematic to optimise maintenance policy. This problem is tackled in this paper by assuming that the quality of a PM action is a random variable following a probability distribution. Two frequently studied PM models, a failure rate PM model and an age reduction PM model, are investigated. The optimal PM policies are presented and optimised. Numerical examples are also given.
|Additional information:||Unmapped bibliographic data: PY - 2005/// [EPrints field already has value set] AD - School of Construction Management and Engineering, The University of Reading, RG6 6AW, Reading, United Kingdom [Field not mapped to EPrints] JA - Reliab Eng Syst Saf [Field not mapped to EPrints]|
|Uncontrolled keywords:||Failure rate, Long-run average cost, Maintenance quality, Preventive maintenance, Failure analysis, Mathematical models, Numerical analysis, Optimization, Parameter estimation, Probability distributions, Problem solving, Random processes, Reliability, Failure rate, Long-run average cost, Maintenance quality, Optimization problems, Preventive maintenance|
|Subjects:||H Social Sciences > HA Statistics > HA33 Management Science|
|Divisions:||Faculties > Social Sciences > Kent Business School > Management Science|
|Depositing User:||Cathy Norman|
|Date Deposited:||01 Oct 2012 16:15|
|Last Modified:||09 Jan 2013 15:26|
|Resource URI:||http://kar.kent.ac.uk/id/eprint/31024 (The current URI for this page, for reference purposes)|
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